In-situ seismic oscillation prediction model and construction method thereof

Abstract

The invention relates to an in-situ seismic oscillation prediction model and a construction method thereof, and the construction method comprises the steps: obtaining acceleration recording data of each strong vibration observation station, carrying out the preprocessing of the data, and screening out standard data; removing a linear trend from the screened event record data of each strong vibration observation station, and manually selecting the record data of the first arrival time of the P wave and the S wave; carrying out one-time integration and two-time integration on the vertical acceleration record of each strong vibration observation station in the recorded data so as to respectively obtain a speed time history and a displacement time history; carrying out continuous Butterworth band-pass filter filtering processing on the displacement time history, so as to obtain P wave amplitude early warning parameters Pvall and Paall; calculating a peak velocity PGV and a peak acceleration PGA according to an instrument intensity calculation standard requirement; carrying out correlation fitting on the P-wave amplitude early warning parameters Pvall and Paall, and obtaining a correlation model between the Pvalue and the PGV and a correlation model between the Paall and the PGA. The model improves the reliability of a prediction result.

Description

technical field [0001] The invention belongs to the field of earthquake early warning, in particular to an on-site earthquake prediction model and a construction method thereof. Background technique [0002] When using P-wave early warning parameters to estimate local ground motion, it is necessary to build a local ground motion prediction model in advance. Traditionally, the displacement amplitude parameter P of the P wave for 3 seconds is generally used. d The correlation with the peak velocity PGV is used to estimate the ground motion, while other types of P-wave amplitude parameters (such as the velocity amplitude P v or acceleration amplitude P a )hardly. In practical applications, the acceleration records recorded by the strong motion instrument need to be integrated twice to obtain the displacement records, and the integration operation will cause low-frequency drift, which has a greater impact on the displacement records obtained after two integrations. On the ot...

AI Technical Summary

Problems solved by technology

In practical applications, the acceleration records recorded by the strong motion instrument need to be integrated twice to obtain the displacement records, and the integration operation will cause low-frequency drift, which has a greater impact on the displacement records obtained after two integrations

On the other hand, the seismic intensity meter uses MEMS sensors to collect ground acceleration. Compared with traditional force balance accelerometers, the quality of data recorded by MEMS will be much worse, especially for simple intensity meters with a low dynamic range (90dB).

In this case, if still using P d Correlation with PGV to complete the estimation of ground motion, the reliability of the result will be greatly reduced

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